Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning
Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning
Jie Liu,Kaibo Zhou,Chaoying Yang,Guoliang Lu
2021 · DOI: 10.1007/s11465-021-0652-4
Frontiers of Mechanical Engineering · 38 Citations
TLDR
Results show that the proposed method can effectively achieve rotating machinery fault diagnosis towards imbalanced training dataset through graph feature learning.